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Ingo Fischer
Researcher at Spanish National Research Council
Publications - 238
Citations - 12088
Ingo Fischer is an academic researcher from Spanish National Research Council. The author has contributed to research in topics: Semiconductor laser theory & Laser. The author has an hindex of 47, co-authored 236 publications receiving 10312 citations. Previous affiliations of Ingo Fischer include VU University Amsterdam & Vrije Universiteit Brussel.
Papers
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Proceedings ArticleDOI
Computing using delayed feedback systems: towards photonics
Lennert Appeltant,Miguel C. Soriano,G. Van der Sande,Jan Danckaert,Serge Massar,Joni Dambre,Benjamin Schrauwen,Claudio R. Mirasso,Ingo Fischer +8 more
TL;DR: A further investigation of the properties of delayed feedback congurations used as a reservoir is presented, instead of quantifying the performance as an error obtained for a certain benchmark, the linear memory of the system is investigated.
Proceedings ArticleDOI
Coupled semiconductor lasers with delayed optical feedback: Chaos synchronization and its application
TL;DR: In this article, a detailed characterization of the synchronization behavior of unidirectionally coupled semiconductor lasers, emitting chaotically due to delayed optical feedback, is presented, and the corresponding synchronization scenario and harnessing it for communication with enhanced privacy are discussed.
Experimental studies of pulse packages in short external cavity VCSELs
Andrzej Tabaka,Michael Peil,Marc Sciamanna,Ingo Fischer,Wolfgang Elsäßer,Hugo Thienpont,Irina Veretennicoff,Krassimir Panajotov +7 more
TL;DR: Tabaka et al. as mentioned in this paper proposed Tabaka's external cavity external cavity VCSELs Andrzej Tabaka1, Michael Peil2, Marc Sciamanna3,4, Ingo Fischer2, Wolfgang Elsaser2, Hugo Thienpont1, Irina Veretennicoff1, Krassimir Panajotov1,5 1 Department of Applied Physics and Photonics, Vrije Universiteit Brussel (V.U.B.), B-1050 Brussels, Belgium 2 Institute of Applied physics, D
Journal ArticleDOI
Intensive Care as an Independent Risk Factor for Infection after Reconstruction and Augmentation with Autologous Bone Grafts in Craniomaxillofacial Surgery: A Retrospective Cohort Study
TL;DR: In this paper, the authors investigated the possible risk factors associated with the occurrence of complications in order to provide evidence for the outcome of autologous bone graft reconstructive procedures, and a multivariate model was used to create a prognostic model predicting the occurrences of complications.
Posted Content
Deep Learning with a Single Neuron: Folding a Deep Neural Network in Time using Feedback-Modulated Delay Loops.
TL;DR: This approach fully recovers standard Deep Neural Networks (DNN), encompasses sparse DNNs, and extends the DNN concept toward dynamical systems implementations, and exhibits promising performance in a set of benchmark tasks.